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Silvia Mosso 1 Research Connection 2009: the LUNA project 1 Prague, 7 May 2009 Research Connection 2009 Silvia Mosso LUNA: the Power of Understanding

Silvia Mosso 1 Research Connection 2009: the LUNA project 1 Prague, 7 May 2009 Research Connection 2009 Silvia Mosso LUNA: the Power of Understanding

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Silvia Mosso 1Research Connection 2009: the LUNA project 1

Prague, 7 May 2009Research Connection 2009

Silvia Mosso

LUNA: the Power of Understanding

Silvia Mosso 2Research Connection 2009: the LUNA project

Background

A number of existing telephone services offer IVR-like interfaces:

• System-driven dialogues: require responses with specific words or short sentences proposed by the system

• Long menus: tedious, and options are difficult to remember. VUIs demand shorter, simpler menus compared to GUIs.

• Number of steps: an excessive number of levels must often be negotiated before callers achieve desired objective

• All these aspects increase call duration, and reduce quality of user experience

Wouldn’t it be better just to tell the service what you want?

Silvia Mosso 3Research Connection 2009: the LUNA project

Objectives

The goal is not to achieve human-like interaction, but to allow users to express their needs to an automated system in their own words, and consequently to achieve their goals quickly and accurately.

The objective of the LUNA project is the

robust, real time understanding of

spontaneous speech, well beyond the state of

the art, to create advanced-dialogue

applications.

The solution is a “natural language” interface

Silvia Mosso 4Research Connection 2009: the LUNA project

The consortium

Silvia Mosso 5Research Connection 2009: the LUNA project

Results

• Development of a toolkit for multilingual dialogue services

– Architecture in 3 levels growing levels of interaction complexity, from call routing and classification to context-sensitive validation in complex, spoken dialogue applications

• Prototypes in three languages: French, Italian, Polish

• Validation of the results in different application scenarios

Challenges:– The availability of speech corpora is a major issue - data collection

and annotation are expensive need for incremental learning algorithms

– Spontaneous speech doesn’t usually follow the rules of written language; furthermore, a SLU system must be robust to errors introduced by the speech recognizer

– Portability across languages and applications is a big challenge Key LUNA innovation: first system of its kind in the Polish language

Silvia Mosso 6Research Connection 2009: the LUNA project

Impact

• Evolution of human-machine interaction in automated call centers:– To increase the automation rate of telephone services

– To shorten call duration, thanks to a reduced waiting time

– To overcome the distrust of communicating with machines, and to enhance the user experience

• Competitive advantage for the industrial partners of the consortium

• Scientific excellence of European research institutions, results comparable with USA

• Future research activities :– Integration with robotics – e.g. domestic appliances which can

understand spoken language

– Cooperative interfaces

Silvia Mosso 7Research Connection 2009: the LUNA project

EU funding benefits

EU funding can help to:

• Encourage cooperation between European technological leaders

• Create a network between industry and academic institutions

• Foster interdisciplinary and cross-sector partnerships

• Facilitate massive investment which generates specific know-how,

which would otherwise not be possible for either small-medium

companies or universities • Stimulate strategic and visionary R&D, thanks to financial support• Cultivate new channels for exploitation by industry, early

validation and marketing

Silvia Mosso 8Research Connection 2009: the LUNA project

Thank you for listening!

www.ist-luna.eu

Contact us:

[email protected]

[email protected]